Dissipativity based distributed model predictive control for complex industrial processes

复杂工业过程的基于耗散性的分布式模型预测控制

• 批准号: DP130103330
• 负责人: Prof Jie Bao
• 金额: $ 22.39万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-02-01 至 2017-05-15
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP130103330
• 关键词: Dissipativity; based; distributed; model; predictive

This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.

该项目将扩展和改进模型预测控制技术，这是过程工业中使用最广泛的先进控制方法。研究结果可能有利于澳大利亚矿物加工业，该行业的许多流程都分布在不同的地理位置，从而实现更具成本效益的运营。